Data Engineering Jobs

Palantir Technologies · Honolulu, United States · US$10,000 pa

Forward Deployed Software Engineers embed with government customers to scope open-ended data problems and build solutions on Palantir's platforms. Work spans architecture discussions, large-scale data wrangling, custom web apps and executive briefings, with significant ownership and travel to client sites 25-50% of the time.

Palantir Technologies · London

Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, working with TypeScript, React and GraphQL. Involves architecting state management and access patterns, owning frontend APIs and schemas, and iterating with users and designers. May include a Frontline rotation embedded with customers.

Tenth Revolution Group · London · £85,000 – £115,000 pa

Lead architecture and technical strategy for enterprise-scale Databricks programmes, designing Lakehouse solutions on Azure and overseeing engineering delivery, quality and governance. The role combines hands-on Databricks expertise with mentoring data engineers and shaping roadmaps with senior stakeholders, spanning analytics, ML and GenAI workloads.

eFinancialCareers · London · US$104,435 – US$182,604 pa

Serves as primary business partner for the Market Intelligence division, owning the data platform lifecycle for large, complex sales compensation datasets. Leads database build-out, schema design, ETL workflows and governance, translating commercial contracts into structured data constructs while mentoring a team of analysts. Acts as first point of contact for sales leadership on data anomalies and SOX-compliant reporting.

eFinancialCareers · London · £120,000 pa

Builds core trade lifecycle, settlement, finance systems and regulatory reporting platforms for an investments client, replacing manual and batch processes with an event-driven, real-time architecture. Works across Java, Python, Spring Boot, Kafka, PostgreSQL and AWS microservices, with genuine influence over design decisions in a growing team.

eFinancialCareers · London

Lead the design and delivery of a mission-critical risk data platform for a financial markets clearing organisation, building batch-processing services for market and historical time-series data. The role is hands-on, owning architecture, engineering standards and complex technical decisions, with strong Java 11+ (17+ preferred) and Spring Boot skills. Works closely with infrastructure, security, DevOps and Quant Risk teams, including production support and an on-call rota.

eFinancialCareers · London · £84,000 – £126,000 pa

Leads data architecture deliverables for a business area or domain, covering current and target state definitions, data cataloguing, modelling, and architecture governance. Drives adoption of data policies and standards across EMEA and globally, collaborating with IT and business stakeholders and aligning with programmes such as the Data Platform and BCBS 239.

eFinancialCareers · London

Engineer the availability, quality and performance of real-time data feeds powering intraday short-term power trading, integrating market, grid, weather and internal trading system sources. Build ETL/ELT pipelines handling millions to billions of records using optimised SQL, Python, Pandas and Numpy, supporting systematic trading, back-testing and risk management in a high-frequency environment.

eFinancialCareers · London

Builds real-time trading applications, analytics platforms and data pipelines for a European Intraday Power desk, sitting between technology and trading. The role focuses on short-term power initiatives, enabling the front office to test and execute systematic strategies and manage risk in fast-moving markets.

eFinancialCareers · London · £140,000 pa

Lead the design, development and evolution of an enterprise data platform across a modern Azure and Snowflake environment. Direct teams spanning platform engineering, quality and governance, shaping the roadmap and driving both strategic change and BAU. Focus on engineering standards, DataOps, CI/CD, platform optimisation and cost control while partnering with senior stakeholders.